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Lingling PengLingling Peng
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update the sync test
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tests/integration/synapseclient/models/synchronous/test_table.py

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -793,7 +793,7 @@ async def test_store_rows_as_csv_being_split_and_uploaded(
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assert len(results) == 200
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# AND The spy should have been called in multiple batches
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assert spy_send_job.call_count == 4
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assert spy_send_job.call_count == 5
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async def test_store_rows_as_df_being_split_and_uploaded(
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self, project_model: Project, mocker: MockerFixture
@@ -857,7 +857,7 @@ async def test_store_rows_as_df_being_split_and_uploaded(
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# AND The spy should have been called in multiple batches
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# Note: DataFrames have a minimum of 100 rows per batch
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assert spy_send_job.call_count == 2
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assert spy_send_job.call_count == 3
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@skip("Skip in normal testing because the large size makes it slow")
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async def test_store_rows_as_large_df_being_split_and_uploaded(
@@ -1040,7 +1040,7 @@ async def test_upsert_operations_with_various_data_sources(
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# We should have 9 total rows now (6 from before + 3 new)
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assert len(results) == 9
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# The spy should have been called for update and insert operations
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assert spy_send_job.call_count == 2
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assert spy_send_job.call_count == 4
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# Test 4: Dry run operation
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# WHEN I perform a dry run upsert
@@ -1238,7 +1238,7 @@ async def test_upsert_with_large_data_and_batching(
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assert len(results) == 6
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# AND multiple batch jobs should have been created due to batching settings
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assert spy_send_job.call_count == 5 # More batches due to small size settings
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assert spy_send_job.call_count == 7 # More batches due to small size settings
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async def test_upsert_all_data_types(
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self, mocker: MockerFixture, project_model: Project

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